A Python package to mix-and-match conflicting clustering results in single cell analysis, and generate reconciled clustering solutions.
Project description
scTriangulate
scTriangulate is a Python package to mix-and-match conflicting clustering results in single cell analysis, and generate reconciled clustering solutions.
Tutorials
Check our full documentation.
Overview
It can potentially be used in an array of settings:
-
Running same unsupervised clustering (i.e. Leiden) algorithm using different resolutions.
-
Running unsupervised clustering using different algorithms.
-
Running reference mapping tools using different reference atlases.
-
Clustering labels from matched multi-modalities (RNA, ADT, ATAC, etc)
Citation
scTriangulate will be presented in 2021 CZI Single-Cell Biology Annual Meeting.
A preprint will come out soon.
Contact
Guangyuan(Frank) Li
PhD student, Biomedical Informatics
Cincinnati Children’s Hospital Medical Center(CCHMC)
University of Cincinnati, College of Medicine
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for sctriangulate-0.9.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3cc79d51b4d3ac4ca0b6d9e4a217d9fe85e143b84cbe9082905015d70fda3f95 |
|
MD5 | 14ccb3687746ce1fd298155251a0e8ac |
|
BLAKE2b-256 | 4472011302b5ea63b4829f5b32c00ad844c368df2bb0342624b83d21be376f07 |